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Record W206554970 · doi:10.1007/0-306-47117-5_9

Cyclomer Technology for High Performance Polymers

2006· book-chapter· en· W206554970 on OpenAlexaff
Yong Ding, Allan S. Hay

Bibliographic record

VenueKluwer Academic Publishers eBooks · 2006
Typebook-chapter
Languageen
FieldChemistry
TopicMass Spectrometry Techniques and Applications
Canadian institutionsMcGill University
Fundersnot available
KeywordsAryleneMaterials sciencePolymerThioetherCopolymerFabricationElectronicsComposite materialPolymer chemistryEngineeringElectrical engineeringChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Efficient methods for preparation of cyclic(arylene ether)s and cyclic(arylene thioether)s have provided a very attractive approach for increasing the processability of high performance polymers. Cyclomer technology can provide materials free from any salt contamination which may be of use in the electronics area. The significantly lower melt visicosity of cyclomers faciliates the processing which should be attractive for fabrication of advanced composite structures free of voids and residual stresses. Synthesis of block copolymers by ROP is still an unexploited area. The synthesis and ROP of cyclomers as precursors to high performance polymers will remain an active research area.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.479
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.233
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2006
Admission routes1
Has abstractyes

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